SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

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Showing 841–850 of 1192 papers

TitleStatusHype
WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flows—0
Blockchain Phishing Scam Detection via Multi-channel Graph Classification—0
Biomedical Network Link Prediction using Neural Network Graph Embedding—0
Open Knowledge Base Canonicalization with Multi-task Unlearning—0
Open Knowledge Base Canonicalization with Multi-task Learning—0
Transforming Graphs for Enhanced Attribute Clustering: An Innovative Graph Transformer-Based Method—0
Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings—0
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding—0
Out-of-sample Extension for Latent Position Graphs—0
TransG : A Generative Mixture Model for Knowledge Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified